메뉴 건너뛰기




Volumn 41, Issue 12, 2009, Pages 1119-1144

Hybridizing the harmony search algorithm with a spreadsheet 'Solver' for solving continuous engineering optimization problems

Author keywords

Harmony search; Hybridization; Optimization; Solver; Spreadsheets

Indexed keywords

CONTINUOUS ENGINEERING OPTIMIZATION; EMPIRICAL STUDIES; ENGINEERING OPTIMIZATION PROBLEMS; GLOBAL-LOCAL; HARMONY SEARCH; HARMONY SEARCH ALGORITHMS; HS ALGORITHM; HYBRIDIZATION; OPTIMIZATION SOLVERS; SEARCH METHOD; SOLUTION PARAMETERS; STOCHASTIC SOLUTION;

EID: 77951492715     PISSN: 0305215X     EISSN: 10290273     Source Type: Journal    
DOI: 10.1080/03052150902926835     Document Type: Article
Times cited : (43)

References (61)
  • 1
    • 0022867743 scopus 로고
    • Efficient optimization of space trusses
    • Adeli, H. and Kamal, O., 1986. Efficient optimization of space trusses. Computers and Structures, 24 (3), 501-511.
    • (1986) Computers and Structures , vol.24 , Issue.3 , pp. 501-511
    • Adeli, H.1    Kamal, O.2
  • 2
    • 34548359352 scopus 로고    scopus 로고
    • Simultaneous determination of aquifer parameters and zone structures with fuzzy c-means clustering and meta-heuristic harmony search algorithm
    • Ayvaz, M.T., 2007. Simultaneous determination of aquifer parameters and zone structures with fuzzy c-means clustering and meta-heuristic harmony search algorithm. Advances in Water Research, 30, 2326-2338.
    • (2007) Advances in Water Research , vol.30 , pp. 2326-2338
    • Ayvaz, M.T.1
  • 4
    • 44649126699 scopus 로고    scopus 로고
    • Transport energy modeling with meta-heuristic harmony search algorithm, an application to Turkey
    • Ceylan, H., Ceylan, H., Haldenbilen, S., and Baskan, O., 2008. Transport energy modeling with meta-heuristic harmony search algorithm, an application to Turkey. Energy Policy, 36, 2527-2535.
    • (2008) Energy Policy , vol.36 , pp. 2527-2535
    • Ceylan, H.1    Ceylan, H.2    Haldenbilen, S.3    Baskan, O.4
  • 5
    • 0021651640 scopus 로고
    • Application of reduced quadratic programming technique to optimal structural design
    • E. Atrex , R.H. Gallagher, K.M. Radgsdell, O.C. Zienkiewicz (Eds), NewYork:Wiley
    • Chao, N.H., Fenves, S.J., andWesterberg,A.W., 1984.Application of reduced quadratic programming technique to optimal structural design. In: E. Atrex , R.H. Gallagher, K.M. Radgsdell, O.C. Zienkiewicz (Eds), New directions in optimum structural design. NewYork:Wiley.
    • (1984) New Directions in Optimum Structural Design
    • Chao, N.H.1    Fenves, S.J.2    Westerberg, A.W.3
  • 6
    • 60949094095 scopus 로고    scopus 로고
    • A combined global and local search method to deal with constrained optimization for continuous tabu search
    • Chen, X., Yang, J., Li, Z., Tian, D., and Shao, Z., 2008. A combined global and local search method to deal with constrained optimization for continuous tabu search, International Journal for Numerical Methods in Engineering, 76, 1869-1891.
    • (2008) International Journal for Numerical Methods in Engineering , vol.76 , pp. 1869-1891
    • Chen, X.1    Yang, J.2    Li, Z.3    Tian, D.4    Shao, Z.5
  • 7
    • 0034159170 scopus 로고    scopus 로고
    • Use of a self-adaptive penalty approach for engineering optimization problems
    • Coello, C.A., 2000. Use of a self-adaptive penalty approach for engineering optimization problems. Computers in Industry, 41 (2), 113-127.
    • (2000) Computers in Industry , vol.41 , Issue.2 , pp. 113-127
    • Coello, C.A.1
  • 8
    • 0033729054 scopus 로고    scopus 로고
    • An efficient constraint handling method for genetic algorithms
    • Deb, K., 2000. An efficient constraint handling method for genetic algorithms. Computer Methods in Applied Mechanics and Engineering, 186, 311-338.
    • (2000) Computer Methods in Applied Mechanics and Engineering , vol.186 , pp. 311-338
    • Deb, K.1
  • 10
    • 0016027933 scopus 로고
    • A comparison of numerical optimization methods for engineering design
    • Eason, E.D. and Fenton, R.G., 1974. A comparison of numerical optimization methods for engineering design. ASME Journal of Engineering for Industry, 96 (1), 196-200.
    • (1974) ASME Journal of Engineering for Industry , vol.96 , Issue.1 , pp. 196-200
    • Eason, E.D.1    Fenton, R.G.2
  • 13
    • 0442297383 scopus 로고    scopus 로고
    • Can spreadsheet solvers solve demanding optimization problems?
    • DOI 10.1002/cae.1005
    • Ferreira, E.N.C. and Salcedo, R., 2001. Can spreadsheet solvers solve demanding optimization problems. Computer Applications in Engineering Education, 9 (1), 49-56. (Pubitemid 33692542)
    • (2001) Computer Applications in Engineering Education , vol.9 , Issue.1 , pp. 49-56
    • Ferreira, E.C.1    Salcedo, R.2
  • 15
    • 0029326675 scopus 로고
    • Acomparison of evolutionary programming and genetic algorithms on selected constrained optimization problems
    • Fogel, D.B., 1995.Acomparison of evolutionary programming and genetic algorithms on selected constrained optimization problems. Simulation, 64 (6), 399-406.
    • (1995) Simulation , vol.64 , Issue.6 , pp. 399-406
    • Fogel, D.B.1
  • 16
    • 77951445138 scopus 로고    scopus 로고
    • Available at
    • Frontline Systems, 2009. Solver.com. Available at http://www.solver.com/ probtype5.htm
    • (2009) Frontline Systems
  • 17
    • 33646268618 scopus 로고    scopus 로고
    • Optimal cost design of water distribution networks using harmony search
    • Geem, Z.W., 2006. Optimal cost design of water distribution networks using harmony search. Engineering Optimization, 38 (3), 259-280.
    • (2006) Engineering Optimization , vol.38 , Issue.3 , pp. 259-280
    • Geem, Z.W.1
  • 18
    • 0034974417 scopus 로고    scopus 로고
    • A new heuristic optimization algorithm: Harmony search
    • Geem, Z.W., Kim, J.H., and Loganathan, G.V., 2001.Anewheuristic optimization algorithm: harmony search. Simulation, 76 (2), 60-68. (Pubitemid 32543074)
    • (2001) Simulation , vol.76 , Issue.2 , pp. 60-68
    • Geem, Z.W.1    Kim, J.H.2    Loganathan, G.V.3
  • 19
    • 0004167035 scopus 로고
    • AFFDLTR- 70-165, Air Force Flight Dynamics Lab., Wright-Patterson AFB, OH
    • Gellatly, R.A. and Berke, L., 1971. Optimal structural design, AFFDLTR- 70-165, Air Force Flight Dynamics Lab., Wright-Patterson AFB, OH.
    • (1971) Optimal Structural Design
    • Gellatly, R.A.1    Berke, L.2
  • 20
    • 84989487658 scopus 로고
    • Heuristic for integer programming using surrogate constraints
    • Glover, F., 1977. Heuristic for integer programming using surrogate constraints. Decision Sciences, 8 (1), 156-166.
    • (1977) Decision Sciences , vol.8 , Issue.1 , pp. 156-166
    • Glover, F.1
  • 25
    • 0028413196 scopus 로고
    • Constrained optimization via genetic algorithms
    • Homaifar, A., Lai, S.H.V., and Qi, X., 1994. Constrained optimization via genetic algorithms. Simulation, 62 (4), 242-254.
    • (1994) Simulation , vol.62 , Issue.4 , pp. 242-254
    • Homaifar, A.1    Lai, S.H.V.2    Qi, X.3
  • 26
    • 0030168535 scopus 로고    scopus 로고
    • Comparison of genetic algorithms, random restart and two-opt switching for solving large location-allocation problems
    • Houck, C.R., Joines, J.A., and Kay, M.G., 1996. Comparison of genetic algorithms, random start, and two-opt switching for solving large location-allocation problems. Computers and Operations Research, 23 (6), 587-596. (Pubitemid 126667691)
    • (1996) Computers and Operations Research , vol.23 , Issue.6 , pp. 587-596
    • Houck, C.R.1    Joines, J.A.2    Kay, M.G.3
  • 27
    • 0031082512 scopus 로고    scopus 로고
    • Empirical investigation of the benefits of partial Lamarckianism
    • Houck, C.R., Joines, J.A., and Wilson, J.R., 1997. Empirical investigation of the benefits of partial Lamarckianism. Evolution Computing, 5 (1), 31-60.
    • (1997) Evolution Computing , vol.5 , Issue.1 , pp. 31-60
    • Houck, C.R.1    Joines, J.A.2    Wilson, J.R.3
  • 28
    • 0019570837 scopus 로고
    • Configuration optimization of trusses
    • Imai, K. and Schmit Jr. A.L., 1981. Configuration optimization of trusses. Journal of Structural Division ASCE, 107 (ST5), 745-756. (Pubitemid 11467515)
    • (1981) ASCE J Struct Div , vol.107 , Issue.5 , pp. 745-756
    • Imai Kanji1    Schmit Jr. Lucien, A.2
  • 30
    • 19544362385 scopus 로고    scopus 로고
    • Groundwater parameter estimation by optimization and dual reciprocity finite differences method
    • DOI 10.1615/JPorMedia.v8.i2.80
    • Karahan, H. and Ayvaz, M.T., 2005. Groundwater parameter estimation by optimization and dual reciprocity finite differences method. Journal of Porous Media, 8 (2), 211-223. (Pubitemid 40730120)
    • (2005) Journal of Porous Media , vol.8 , Issue.2 , pp. 211-223
    • Karahan, H.1    Ayvaz, M.T.2
  • 32
    • 0018493236 scopus 로고
    • An optimality criterion method for large-scale structures
    • Khan, M.R.,Willmert, K.D., and Thornton,W.A., 1979. An optimality criterion method for large-scale structures. AIAA Journal, 17 (7), 753-761.
    • (1979) AIAA Journal , vol.17 , Issue.7 , pp. 753-761
    • Khan, M.R.1    Willmert, K.D.2    Thornton, W.A.3
  • 33
    • 0035661395 scopus 로고    scopus 로고
    • Parameter estimation of the nonlinear Muskingum model using Harmony Search
    • Kim, J.H., Geem, Z.W., and Kim, E.S., 2001. Parameter estimation of the nonlinear Muskingum model using harmony search. Journal of the American Water Resources Association, 37 (5), 1131-1138. (Pubitemid 34009650)
    • (2001) Journal of the American Water Resources Association , vol.37 , Issue.5 , pp. 1131-1138
    • Kim, J.H.1    Geem, Z.W.2    Kim, E.S.3
  • 34
    • 26444479778 scopus 로고
    • Optimization by simulated annealing
    • Kirkpatrick, S., Gelatt, C., and Vecchi, M., 1983. Optimization by simulated annealing. Science, 220 (4598), 671-680.
    • (1983) Science , vol.220 , Issue.4598 , pp. 671-680
    • Kirkpatrick, S.1    Gelatt, C.2    Vecchi, M.3
  • 35
    • 0017949075 scopus 로고
    • Design and testing of a generalized reduced gradient code for nonlinear programming
    • DOI 10.1145/355769.355773
    • Lasdon, L.S.,Waren, A.D., Jain, A., and Ratner, M., 1978. Design and testing of a generalized reduced gradient code for nonlinear programming, ACM Transactions on Mathematics Software, 4 (1), 34-49. (Pubitemid 8591463)
    • (1978) ACM Transactions on Mathematical Software , vol.4 , Issue.1 , pp. 34-50
    • Lasdon, L.S.1    Waren, A.D.2    Jain, A.3    Ratner, M.4
  • 36
    • 20444466485 scopus 로고    scopus 로고
    • A new meta-heuristic algorithm for continuous engineering optimization: Harmony search theory and practice
    • Lee, K.S. and Geem, Z.W., 2005. A new meta-heuristic algorithm for continuous engineering optimization: harmony search theory and practice. Computer Methods in Applied Mechanics and Engineering, 194, 3902-3933.
    • (2005) Computer Methods in Applied Mechanics and Engineering , vol.194 , pp. 3902-3933
    • Lee, K.S.1    Geem, Z.W.2
  • 37
    • 1842427544 scopus 로고    scopus 로고
    • A new structural optimization method based on the harmony search algorithm
    • Lee, K.S., Geem, Z.W., 2004. A new structural optimization method based on the harmony search algorithm. Computers and Structures, 82, 781-798.
    • (2004) Computers and Structures , vol.82 , pp. 781-798
    • Lee, K.S.1    Geem, Z.W.2
  • 41
    • 77951444750 scopus 로고    scopus 로고
    • Optimization Technology Center [online] Available from:
    • Optimization Technology Center, 2009. Optimization Technology Center'sWeb site [online].Available from: http://wwwnew. mcs.anl.gov/otc/Guide/ SoftwareGuide/Blurbs/grg2.html
    • (2009) Optimization Technology Center's Web Site
  • 42
    • 34848860813 scopus 로고    scopus 로고
    • Investigating a hybrid simulated annealing and local search algorithm for constrained optimization
    • Pedamallu, C.S. and Ozdamar, L., 2008. Investigating a hybrid simulated annealing and local search algorithm for constrained optimization, European Journal of Operations Ressearch, 185 (3), 1230-1245.
    • (2008) European Journal of Operations Ressearch , vol.185 , Issue.3 , pp. 1230-1245
    • Pedamallu, C.S.1    Ozdamar, L.2
  • 43
    • 0031104205 scopus 로고    scopus 로고
    • Genetic algorithms-based methodologies for design optimization of trusses
    • Rajeev, S. and Krishnamoorthy, C.S., 1997. Genetic algorithm-based methodologies for design optimization of trusses, ASCE Journal of Structural Engineering, 123 (3), 350-358. (Pubitemid 127612274)
    • (1997) Journal of Structural Engineering , vol.123 , Issue.3 , pp. 350-358
    • Rajeev, S.1    Krishnamoorthy, C.S.2
  • 46
    • 0343256806 scopus 로고    scopus 로고
    • Visual basic for applications, add-ins and Excel 7.0
    • Rosen, E.M., 1997. Visual basic for applications, add-ins and Excel 7.0. CACHE News, 45, 1-3.
    • (1997) CACHE News , vol.45 , pp. 1-3
    • Rosen, E.M.1
  • 47
    • 0001723141 scopus 로고
    • An automatic method for finding the greatest or least value of a function
    • Rosenbrock, H.H., 1960.An automatic method for finding the greatest or least value of a function. The Computer Journal, 3 (3), 175-184.
    • (1960) The Computer Journal , vol.3 , Issue.3 , pp. 175-184
    • Rosenbrock, H.H.1
  • 48
    • 0025498904 scopus 로고
    • Optimum design of pin-jointed steel structures with practical applications
    • Saka, M.P., 1990. Optimum design of pin-jointed steel structures with practical applications, ASCE Journal of Structural Engineering, 116 (10), 2599-2620.
    • (1990) ASCE Journal of Structural Engineering , vol.116 , Issue.10 , pp. 2599-2620
    • Saka, M.P.1
  • 49
    • 56249121942 scopus 로고    scopus 로고
    • Optimum design of steel sway frames to BS5950 using harmony search algorithm
    • Saka, M.P., 2009. Optimum design of steel sway frames to BS5950 using harmony search algorithm. Journal of Construction Steel Research, 65 (1), 36-43.
    • (2009) Journal of Construction Steel Research , vol.65 , Issue.1 , pp. 36-43
    • Saka, M.P.1
  • 50
    • 0016057779 scopus 로고
    • Some approximation concepts for structural synthesis
    • Schmit Jr, L.A. and Farshi, B., 1974. Some approximation concepts for structural synthesis, AIAA Journal, 12 (5), 692-699.
    • (1974) AIAA Journal , vol.12 , Issue.5 , pp. 692-699
    • Schmit Jr, L.A.1    Farshi, B.2
  • 53
    • 0030127939 scopus 로고    scopus 로고
    • Fuzzy controlled genetic algorithm search for shape optimization
    • Soh, C.K.,Yang, J.P., 1996. Fuzzy controlled genetic algorithm search for shape optimization. ASCE Journal of Computing in Civil Engineering, 10 (2), 143-150. (Pubitemid 126567082)
    • (1996) Journal of Computing in Civil Engineering , vol.10 , Issue.2 , pp. 143-150
    • Soh, C.K.1    Yang, J.2
  • 54
    • 0029224284 scopus 로고
    • On the robustness and efficiency of the S.A.M. algorithm for structural optimization
    • Stander, N., Snyman, J.A., and Coster, J.E., 1995. On the robustness and efficiency of the S.A.M. algorithm for structural optimization, Journal for Numerical Methods in Engineering, 38, 119-135.
    • (1995) Journal for Numerical Methods in Engineering , vol.38 , pp. 119-135
    • Stander, N.1    Snyman, J.A.2    Coster, J.E.3
  • 55
    • 0242381272 scopus 로고    scopus 로고
    • Using spreadsheet solvers in sample design
    • DOI 10.1016/S0167-9473(02)00322-5, PII S0167947302003225
    • Stokes, L., Plummer, J., 2004. Using spreadsheet solvers in sample design. Computational Statistics and Data Analysis, 44 (3), 527-546. (Pubitemid 37358754)
    • (2004) Computational Statistics and Data Analysis , vol.44 , Issue.3 , pp. 527-546
    • Stokes, L.1    Plummer, J.2
  • 57
    • 0015110952 scopus 로고
    • Design of optimum structures
    • Venkayya, V.B., 1971. Design of optimum structures, Computers and Structures, 1 (1-2), 265-309.
    • (1971) Computers and Structures , vol.1 , Issue.1-2 , pp. 265-309
    • Venkayya, V.B.1
  • 59
    • 0031185996 scopus 로고    scopus 로고
    • Structural optimization by genetic algorithms with tournament selection
    • Yang, J.P. and Soh, C.K., 1997. Structural optimization by genetic algorithms with tournament selection. ASCE Journal of Computing in Civil Engineering, 11 (3), 195-200. (Pubitemid 127590541)
    • (1997) Journal of Computing in Civil Engineering , vol.11 , Issue.3 , pp. 195-200
    • Yang, J.1    Soh, C.K.2
  • 60
    • 27444438797 scopus 로고    scopus 로고
    • A comparative study on optimization methods for the constrained nonlinear programming problems
    • DOI 10.1155/MPE.2005.165
    • Yeniay, O., 2005. A comparative study on optimization methods for the constrained nonlinear programming problems. Mathematical Problems in Engineering, 2, 165-173. (Pubitemid 41529713)
    • (2005) Mathematical Problems in Engineering , vol.2005 , Issue.2 , pp. 165-173
    • Yeniay, O.1
  • 61
    • 37249009707 scopus 로고    scopus 로고
    • A hybrid genetic algorithm and particle swarm optimization for multimodal functions
    • DOI 10.1016/j.asoc.2007.07.002, PII S1568494607000683
    • Zahara, E., Hu, C.H., 2008. Solving constrained optimization problems with hybrid particle swarm optimization. Engineering Optimization, 40 (11), 1031-1049. (Pubitemid 350266482)
    • (2008) Applied Soft Computing Journal , vol.8 , Issue.2 , pp. 849-857
    • Kao, Y.-T.1    Zahara, E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.